Abstract: The estimation apparatus includes: a conversion unit that converts abnormal packet data into abnormal vector data using a model that converts packet data into vector data in which each byte of the packet data is associated with each vector representing a characteristic of a value of each byte; an extraction unit that extracts normal vector data having a relatively high similarity to the abnormal vector data from among a plurality of pieces of normal vector data obtained by converting a plurality of pieces of normal packet data using the model; and an estimation unit that estimates an abnormal byte in the abnormal packet data from a similarity between a vector corresponding to each byte of the abnormal vector data and a vector corresponding to each byte of the extracted normal vector data.

Abstract: Provided is a semiaromatic polyamide fil having an average linear expansion coefficient in the width direction, measured under conditions of 20 to 125° C., of ?90 to 0 ppm/° C.

Abstract: A mirror device includes a mirror including a main body portion having a reflection surface that reflects display light, and a rotating shaft protruding from a first side wall of the main body portion, and a driving member that includes a motor including an output shaft arranged parallel to the rotating shaft, and neighboring the rotating shaft in a direction orthogonal to a rotation axis line of the rotating shaft, a first gear portion coupled to the output shaft, and a second gear portion engaged with the first gear portion, and coupled to the rotating shaft, and rotates the mirror by transmitting rotation of the output shaft of the motor to the rotating shaft via the first gear portion and the second gear portion.

Abstract: A vehicle display device includes a housing including an opening, an image display device that outputs display light of an image, and a mirror that includes a main body including a reflective surface that reflects the display light toward the opening and is rotatable around a rotation axis. The mirror includes a first and a second ribs that extend along a first direction, and face each other in a second direction. The first rib is formed as a rib closest to a side of the upper end on the back surface, the second rib is formed as a rib closest to a side of the lower end on the back surface, and a central region between the first and the second ribs on the back surface is formed as a flat curved surface, at least a part of which extends from the first rib to the second rib.

Abstract: An information processing apparatus includes a processor configured to acquire, from a read image, a predetermined item, and a value corresponding to the item, the read image being obtained by reading a document and being subjected, prior to acquisition of the item and the value, to preprocessing and character recognition. Further, the processor is configured to, in response to not successfully acquiring at least one of the item and the value, change a setting on the preprocessing or a setting on the character recognition in accordance with the acquisition or non-acquisition state of the item and the value, and then perform the preprocessing or the character recognition. In response to not successfully acquiring at least one of the item and the value, the processor is further configured to identify where the item and the value are located.

Abstract: A tampering detection device includes tampering detection circuitry configured to acquire an access pattern of a monitoring target file, extract a time-series pattern of access for each monitoring target file from the access pattern acquired, and determine a scan pattern on a basis of the time-series pattern of access extracted.

Abstract: In the vehicle body structure including a body frame and a stabilizer which is supported by the body frame and connected to left and right front suspension arms, the body frame has an upper frame and a cross member connected to the upper frame, and the upper frame and the cross member are located upward of the front suspension arms. The cross member is connected to an air guide panel for redirecting ambient air flowing from the front of the vehicle body, and the air guide panel is arranged in a position overlapping the stabilizer in a vertical direction.

Abstract: An estimation device includes processing circuitry configured to generate a feature quantity by performing invertible transformation on a payload of a packet character by character with respect to each packet determined to be abnormal or normal by an abnormality detector, and give a determination result as to whether a packet is abnormal or normal to the generated feature quantity, learn a model that classifies whether the packet is abnormal or normal by machine learning using the feature quantity of the payload of the packet and the determination result as to whether the packet is abnormal or normal as teacher data, extract a number of dimensions of the feature quantity in which a contribution degree to classification is equal to or greater than a predetermined value in the learned model, and estimate a cause part of abnormality in the payload of the packet determined to be abnormal.

Abstract: A detecting device (10) acquires information related to communication by an IoT device. The detecting device (10) inputs data representing a feature of the information related to the communication to a generative model which generates output data on the basis of a latent variable which is a random variable according to a mixed Gaussian distribution and input data, and calculates the output data. The detecting device (10) calculates an anomaly score on the basis of the output data and detects an anomaly in the IoT device when the anomaly score exceeds a threshold value.

Abstract: A determination unit determines necessity of relearning of an initial learning model based on at least one of information regarding the initial learning model generated by learning initial learning data known to be normal, information regarding over-detection data over-detected by an abnormality detection system that uses the initial learning model, and information regarding an over-detection model generated based on the over-detection data. A notification unit notifies of determination result by determination unit.

Abstract: A detection device includes: an encoding unit that converts one packet to be detected into one fixed-length vector by using natural language processing technology; and a detection unit that detects presence or absence of an abnormality in the packet to be detected based on the fixed-length vector converted by the encoding unit using a detection model.

Abstract: A generation unit learns data selected as unlearned data among learning data and generates a model calculating an anomaly score. A selection unit selects, as unlearned data, at least some of data in which an anomaly score calculated by the model generated by the generation unit is equal to or greater than a threshold among the learning data.

Abstract: An information processing apparatus includes a processor configured to: in a case where a print instruction of a printed matter is issued to an image forming apparatus from an instruction apparatus, acquire superimposed information virtually superimposed and displayed on the printed matter; and in a case where it is detected that the printed matter is printed by the image forming apparatus, perform control to store the superimposed information in a storage unit in association with the printed matter.

Abstract: A vehicle front structure comprising a pair of front side members which are provided on both side portions at a vehicle front side and extended in the vehicle longitudinal direction, and an engine compartment cross member which is attached between the pair of front side members, wherein the engine compartment cross member is an annular member including a pair of side members which are respectively attached to the inside surface in the vehicle width direction of each of the front side members and extended in the vehicle longitudinal direction, a front cross member which connects respective front ends of the pair of side members in the vehicle width direction, and a rear cross member which connects respective rear ends of the pair of the side members in the vehicle width direction, and the rear cross member is curved to protrude toward the rear side of the vehicle.

Abstract: An information processing apparatus includes a processor configured to acquire, from a read image, a predetermined item, and a value corresponding to the item, the read image being obtained by reading a document and being subjected, prior to acquisition of the item and the value, to preprocessing and character recognition. Further, the processor is configured to, in response to not successfully acquiring at least one of the item and the value, change a setting on the preprocessing or a setting on the character recognition in accordance with the acquisition or non-acquisition state of the item and the value, and then perform the preprocessing or the character recognition. In response to not successfully acquiring at least one of the item and the value, the processor is further configured to identify where the item and the value are located.

Abstract: An information processing apparatus includes a processor configured to: execute link processing that is a series of processing linked between plural functions according to a link script in which a processing order of each function of the plural functions, a processing content of each function, and an information transmission format between the functions are set; and create a new link script by correcting, in setting content of the link script, the setting content of a part different from a part changed by a user such that a link between the functions is available in a case where the link between the functions is not available because the part of the setting content of the link script is changed by the user, in which the new link script processes the same link processing as the link script.

Abstract: An information processing apparatus includes a processor configured to: receive a predetermined input operation for the information processing apparatus; and perform control to switch a state of a different information processing apparatus from a restricted state to a restriction-removed state in response to receiving of the predetermined input operation, the restricted state being a state in which an input operation for the different information processing apparatus is restricted, the restriction-removed state being a state in which a restriction on the input operation for the different information processing apparatus is removed.

Abstract: A detection device includes acquisition circuitry, conversion circuitry, and detection circuitry. The acquisition circuitry acquires data to be classified using a model. The conversion circuitry converts the data acquired using noise in a predetermined direction. The detection circuitry detects an adversarial example using a change in output between the data acquired and the data converted, at a time when the data acquired and the data converted are input to the model.

Abstract: An information processing apparatus includes a processor configured to acquire, from a read image, a predetermined item, and a value corresponding to the item, the read image being obtained by reading a document and being subjected, prior to acquisition of the item and the value, to preprocessing and character recognition. Further, the processor is configured to, in response to not successfully acquiring at least one of the item and the value, change a setting on the preprocessing or a setting on the character recognition in accordance with the acquisition or non-acquisition state of the item and the value, and then perform the preprocessing or the character recognition.

Abstract: A detecting device obtains a network log and a host log of a device. The detecting device converts the network log into a network feature value in a form which is inputtable to a multimodal generative model which generates output data on the basis of multiple latent variables represented by random variables. The detecting device converts the host log into a host feature value in a form which is inputtable to the generative model. The detecting device also inputs at least one of the network feature value and the host feature value to the generative model and calculates output data. The detecting device detects an abnormality about the device using an anomaly score calculated on the basis of the output data.